At a Glance
- Tasks: Lead AI/ML projects, optimise pipelines, and mentor junior developers.
- Company: Join a premium Norfolk-based manufacturing company with a rich heritage in performance products.
- Benefits: Enjoy a negotiable salary, hybrid work, career progression, and private health care.
- Why this job: Be at the forefront of AI innovation in manufacturing and lead your own projects.
- Qualifications: Expertise in AI/ML, Python, and experience in senior roles within engineering required.
- Other info: Opportunity to work cross-functionally and stay updated with the latest AI research.
The predicted salary is between 72000 - 84000 £ per year.
Company TEC Partners are representing a premium Norfolk-based manufacturing company looking for an AI/ML Team Lead. They have a rich heritage in designing, developing and creating one of the world's leading performance products and are now looking to scale their software department with a new AI/ML Team Lead.
As an AI and ML Team Lead, you will be key in scaling our client's AI and ML department, creating new strategy to optimise the efficiency of the AI pipelines and building automated AI and ML processes using existing frameworks or making them from scratch. You will need to work cross-functionally with other departments to drive industry leading manufacturing AI processes and lead development.
Why work as an AI and ML Team Lead with our client?
- Basic salary - Negotiable dependent on experience, approximately £90,000 - £100,000 + bonus
- Hybrid work pattern
- Career progression and the opportunity to lead your own projects
- Private health and dental care
- Company car scheme
What is expected of you as an AI and ML Team Lead with our client?
- In-depth expert knowledge of AI and ML technology (deep learning, LLMs and NLPs)
- Advanced proficiency with Python and strong experience using frameworks such as PyTorch, Flask and TensorFlow
- Ideally experience within a senior AI/ML position within the engineering sector
- Proven experience of scaling AI/ML teams, hitting and exceeding project targets and timelines
Responsibilities of an AI and ML Team Lead with our client:
- Collaborate within the wider software development team on projects
- Improve existing AI pipelines or design and implement new ones as required
- Act as a senior member of the software development team, providing mentorship and guidance to junior developers
- Ensure all work is completed in accordance with government and company data protection protocols
- Communicate effectively with other departments, collaborating where necessary
- Deploy LLMs and NLP techniques
- Stay up to date in the latest research within the AI and ML space
If you are interested in this AI and ML Team Lead vacancy and you would like to hear more about it or other AI, ML, Data or Python Software Developer vacancies, please contact Stuart at TEC Partners today.
AI and ML Team Lead employer: Tec Partners
Contact Detail:
Tec Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI and ML Team Lead
✨Tip Number 1
Network with professionals in the AI and ML field. Attend industry conferences, webinars, or local meetups to connect with others who work in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your leadership skills by participating in relevant projects or initiatives. If you have experience leading teams or mentoring others, be prepared to discuss specific examples during interviews to demonstrate your capability as a team lead.
✨Tip Number 3
Stay updated on the latest trends and advancements in AI and ML technologies. Being knowledgeable about recent developments can give you an edge in discussions and show your passion for the field.
✨Tip Number 4
Prepare to discuss how you would approach scaling AI/ML processes within the company. Think about strategies you've used in the past and be ready to share your vision for optimising their AI pipelines.
We think you need these skills to ace AI and ML Team Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your in-depth knowledge of AI and ML technologies, particularly your experience with deep learning, LLMs, and NLPs. Emphasise your proficiency in Python and any frameworks like PyTorch, Flask, and TensorFlow.
Craft a Compelling Cover Letter: In your cover letter, explain why you are the perfect fit for the AI and ML Team Lead role. Discuss your previous experience in scaling AI/ML teams and how you have successfully met project targets and timelines.
Showcase Leadership Skills: Highlight your experience in mentoring and guiding junior developers. Provide examples of how you've collaborated with cross-functional teams to drive AI processes in previous roles.
Research the Company: Familiarise yourself with the manufacturing company’s heritage and their approach to AI and ML. This will help you tailor your application and demonstrate your genuine interest in the role during the interview process.
How to prepare for a job interview at Tec Partners
✨Showcase Your Technical Expertise
Be prepared to discuss your in-depth knowledge of AI and ML technologies, particularly deep learning, LLMs, and NLPs. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to lead the team effectively.
✨Demonstrate Leadership Skills
As a Team Lead, you'll need to show that you can mentor and guide junior developers. Share examples of how you've previously led teams, managed projects, and exceeded targets. This will help the interviewers see your potential to drive their AI/ML department forward.
✨Prepare for Cross-Functional Collaboration
Since the role involves working with various departments, be ready to discuss your experience in cross-functional collaboration. Provide examples of how you've successfully worked with other teams to achieve common goals, which is crucial for optimising AI processes.
✨Stay Updated on Industry Trends
Make sure you're up to date with the latest research and advancements in AI and ML. Being able to discuss recent developments or trends during your interview will show your passion for the field and your commitment to continuous learning.